Development of an Automatic Instrument to Make a Concavo-convex Non-Woven Patterned Sheet

2021 ◽  
Author(s):  
Kazuyoshi Ishida ◽  
Koji Makino ◽  
Kotaro Sano ◽  
Hidetsugu Terada
Keyword(s):  
Automatic Instrument

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

An Automatic Instrument for the Ultrasonic Measurement of Texture

1991 ◽  
pp. 447-458 ◽  
Author(s):  
Emmanuel P. Papadakis ◽  
R. Bruce Thompson ◽  
Delwyn D. Bluhm ◽  
George A. Alers ◽  
Kaveh Forouraghi ◽  
...  
Keyword(s):  
Ultrasonic Measurement ◽  
Automatic Instrument

An automatic instrument for investigating the elastic peoperties and controlling the quality of refractories

Refractories ◽  
1975 ◽  
Vol 16 (1-2) ◽  
pp. 23-25
Author(s):  
V. N. Boricheva ◽  
N. K. Senyavin ◽  
N. A. Vorobev ◽  
V. V. Satarov
Keyword(s):  
Automatic Instrument

scholarly journals Design of a scanning laser meter for monitoring the spatio-temporal evolution of snow depth and its application in the Alps and in Antarctica

2016 ◽  
Vol 10 (4) ◽  
pp. 1495-1511 ◽  
Author(s):  
Ghislain Picard ◽  
Laurent Arnaud ◽  
Jean-Michel Panel ◽  
Samuel Morin
Keyword(s):  
Spatial Variability ◽  
Snow Depth ◽  
Laser Scanning ◽  
Single Point ◽  
Measurement Techniques ◽  
Strong Wind ◽  
Slow Increase ◽  
Automatic Instrument ◽  
Spatio Temporal ◽  
Wind Events

Abstract. Although both the temporal and spatial variations of the snow depth are usually of interest for numerous applications, available measurement techniques are either space-oriented (e.g. terrestrial laser scans) or time-oriented (e.g. ultrasonic ranging probe). Because of snow heterogeneity, measuring depth in a single point is insufficient to provide accurate and representative estimates. We present a cost-effective automatic instrument to acquire spatio-temporal variations of snow depth. The device comprises a laser meter mounted on a 2-axis stage and can scan  ≈  200 000 points over an area of 100–200 m2 in 4 h. Two instruments, installed in Antarctica (Dome C) and the French Alps (Col de Porte), have been operating continuously and unattended over 2015 with a success rate of 65 and 90 % respectively. The precision of single point measurements and long-term stability were evaluated to be about 1 cm and the accuracy to be 5 cm or better. The spatial variability in the scanned area reached 7–10 cm (root mean square) at both sites, which means that the number of measurements is sufficient to average out the spatial variability and yield precise mean snow depth. With such high precision, it was possible for the first time at Dome C to (1) observe a 3-month period of regular and slow increase of snow depth without apparent link to snowfalls and (2) highlight that most of the annual accumulation stems from a single event although several snowfall and strong wind events were predicted by the ERA-Interim reanalysis. Finally the paper discusses the benefit of laser scanning compared to multiplying single-point sensors in the context of monitoring snow depth.

scholarly journals Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

2018 ◽  
Author(s):  
Alexey A. Shvets ◽  
Alexander Rakhlin ◽  
Alexandr A. Kalinin ◽  
Vladimir I. Iglovikov
Keyword(s):  
Deep Learning ◽  
State Of The Art ◽  
Semantic Segmentation ◽  
Robot Assisted ◽  
Automatic Instrument ◽  
Binary Segmentation ◽  
Video Feed ◽  
Class Segmentation ◽  
Segmentation Problem ◽  
Robot Assisted Surgery

AbstractSemantic segmentation of robotic instruments is an important problem for the robot-assisted surgery. One of the main challenges is to correctly detect an instrument’s position for the tracking and pose estimation in the vicinity of surgical scenes. Accurate pixel-wise instrument segmentation is needed to address this challenge. In this paper we describe our deep learning-based approach for robotic instrument segmentation. Our approach demonstrates an improvement over the state-of-the-art results using several novel deep neural network architectures. It addressed the binary segmentation problem, where every pixel in an image is labeled as an instrument or background from the surgery video feed. In addition, we solve a multi-class segmentation problem, in which we distinguish between different instruments or different parts of an instrument from the background. In this setting, our approach outperforms other methods for automatic instrument segmentation thereby providing state-of-the-art results for these problems. The source code for our solution is made publicly available.

Sport Participation and Metabolic Risk During Adolescent Years: A Structured Equation Model

2018 ◽  
Vol 39 (09) ◽  
pp. 674-681 ◽  
Author(s):  
André Oliveira Werneck ◽  
Danilo da Silva ◽  
Rômulo Fernandes ◽  
Enio Ricardo Vaz Ronque ◽  
Manuel Coelho-e-Silva ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Waist Circumference ◽  
Cardiorespiratory Fitness ◽  
Sport Participation ◽  
Equation Modeling ◽  
Metabolic Risk ◽  
Automatic Instrument ◽  
The Relationship ◽  
Blood Variables

AbstractSports practice during childhood can influence health indicators in later ages through direct and indirect pathways. Thus, this study aimed to test direct and indirect pathways to the association between sports practice in childhood and metabolic risk in adolescence, adopting physical activity, adiposity, and cardiorespiratory fitness at adolescence as potential mediators. This cross-sectional study with retrospective information was conducted with 991 adolescents (579 girls, 412 boys) aged 10 to 16 y. Sports activity was self-reported in childhood (retrospective data) and physical activity evaluated in adolescence through questionnaires. Somatic maturation (Mirwald method), cardiorespiratory fitness (20-m shuttle-run test), body fat (skinfolds), waist circumference, blood pressure (automatic instrument) and blood variables (fasting glucose, HDL cholesterol, and triglycerides) were measured at adolescence. Waist circumference, blood pressure and blood variables composed the metabolic risk score. Structured equation modeling was adopted. In both sexes, the relationship between sports practice at childhood and metabolic risk was fully mediated by habitual physical activity, which is related to the obesity construct and cardiorespiratory fitness. Obesity was associated with metabolic risk in boys (β=0.062; p<0.001) and girls (β=0.047; p<0.001). The relationship between sports practice in childhood and metabolic risk in adolescence was mediated by physical activity, obesity, and cardiorespiratory fitness.

Commission 9: Instruments and Techniques (Instruments Et Techniques)

1988 ◽  
Vol 20 (1) ◽  
pp. 41-54
Author(s):  
C. M. Humphries ◽  
J. Davis ◽  
J. C. Bhattacharyya ◽  
O. Engvold ◽  
B. P. Fort ◽  
...  
Keyword(s):  
Angular Resolution ◽  
High Angular Resolution ◽  
Automatic Instrument ◽  
High Quantum Efficiency ◽  
Large Aperture ◽  
Array Detectors ◽  
Infrared Spectral ◽  
Instrument Control ◽  
Instruments And Techniques ◽  
Made In

The technology leading to very large aperture telescopes and their optics has progressed well in the period since 1984 and plans for many new large aperture telescopes have been made. Focal plane instrumentation continues to become more sophisticated or more efficient: multi-object capabilities, automatic instrument control and operation, and increasing use of CCDs are examples of areas to which this applies. The proportion of time devoted to observations using two-dimensional photoelectronic detectors has grown substantially at many observatories, particularly with telescopes of moderate aperture; and the use of high quantum efficiency array detectors is now being extended into the infrared spectral region. Important advances have also been made in instrumentation and techniques for ground-based high angular resolution interferometry.

scholarly journals Improvement of Type II Photoelectric Astrolabe and Primary Results

1993 ◽  
Vol 156 ◽  
pp. 85-87
Author(s):  
Zhao Gang ◽  
Zhang Jianwei
Keyword(s):  
Type Ii ◽  
Automatic Instrument ◽  
Photon Counter ◽  
Single Determination

Utilizing the photon counter to register the star through the 60° altitude and a microcomputer to control the telescope pointing, the automatization was attained in the observation of type II photoelectric astrolabe. The limiting magnitude of the improved astrolabe is up to 11.0 and the precision of single determination is ± 0.2 arc — sec. This automatic instrument is more powerful in improving the FK5 system and expanding the current optical celestial system into faint stars.

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